4 citations · 4 across the 13 of their papers we have counts for
4 papers · 1 filter
Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering
Clément Yvernes, Emilie Devijver, Adèle H. Ribeiro +2
Cluster DAGs (C-DAGs) provide an abstraction of causal graphs in which nodes represent clusters of variables, and edges encode both cluster-level causal relationships and dependenc…
Identifiability in Causal Abstractions: A Hierarchy of Criteria
Clément Yvernes, Emilie Devijver, Marianne Clausel +1
Identifying the effect of a treatment from observational data typically requires assuming a fully specified causal diagram. However, such diagrams are rarely known in practice, esp…
Identifiability by common backdoor in summary causal graphs of time series
Clément Yvernes, Charles K. Assaad, Emilie Devijver +1
The identifiability problem for interventions aims at assessing whether the total effect of some given interventions can be written with a do-free formula, and thus be computed fro…
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
Clément Yvernes, Emilie Devijver, Eric Gaussier
The identifiability problem for interventions aims at assessing whether the total causal effect can be written with a do-free formula, and thus be estimated from observational data…